CN102094757A - System, device, and method for acoustic and visual monitoring of a wind turbine - Google Patents
System, device, and method for acoustic and visual monitoring of a wind turbine Download PDFInfo
- Publication number
- CN102094757A CN102094757A CN201010591499XA CN201010591499A CN102094757A CN 102094757 A CN102094757 A CN 102094757A CN 201010591499X A CN201010591499X A CN 201010591499XA CN 201010591499 A CN201010591499 A CN 201010591499A CN 102094757 A CN102094757 A CN 102094757A
- Authority
- CN
- China
- Prior art keywords
- wind turbine
- monitoring device
- monitor
- signal
- deviation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title abstract description 16
- 238000000034 method Methods 0.000 title description 15
- 230000000007 visual effect Effects 0.000 title description 2
- 238000012806 monitoring device Methods 0.000 claims abstract description 90
- 230000005236 sound signal Effects 0.000 claims abstract description 32
- 238000004891 communication Methods 0.000 claims description 17
- 238000013519 translation Methods 0.000 claims description 14
- 230000007246 mechanism Effects 0.000 claims description 10
- 238000010586 diagram Methods 0.000 description 20
- 230000014616 translation Effects 0.000 description 11
- 238000012163 sequencing technique Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 208000024891 symptom Diseases 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 239000003365 glass fiber Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/80—Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
- F05B2270/804—Optical devices
- F05B2270/8041—Cameras
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/80—Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
- F05B2270/81—Microphones
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
A system (400) for monitoring a wind turbine (100) is provided. The system includes a monitoring device (200) coupled to the wind turbine and configured to provide one or more monitoring signals including at least one of an audio signal and an image signal, and a monitoring controller (420) communicatively coupled to the monitoring device and is configured to provide baseline data representative of normal operation of the wind turbine, create operating data based on a monitoring signal received from the monitoring device, compare the operating data to the baseline data to determine a deviation, and transmit a deviation notification when the deviation exceeds a threshold.
Description
Technical field
Purport described herein relates generally to the monitoring wind turbine, and more specifically relates to and use sound and/or video data to monitor wind turbine automatically.
Background technique
Wind energy turbine set (wind farm) comprises one or more wind turbines that utilize wind energy to produce or produce electric power.Wind turbine generally suffers from wind shear for example, extreme temperature, freezes and the operation of ocean wave, other external key elements, internal friction and general environmental elementss such as mechanical wear damages.No matter temporarily the operation infringement can finally cause the performance of non-the best, (for example rotor blade freezes) or (structural damage of rotor blade) since die.
At least some known methods of monitoring wind turbine by detecting wind turbine the power that for example reduces output and/or not symptom such as operability detect the operation infringement indirectly.In addition,, determine that the basic reason of symptom requires the maintenance technician to carry out hand inspection, before basic reason can solve, introduce delay and the cost of not expecting because there are many possible causes in such symptom.
Summary of the invention
In one aspect, be provided for monitoring the system of wind turbine.This system comprises the monitoring device that is coupled in wind turbine and is configured to provide one or more monitor signals.This monitor signal comprises audio signal and/or picture signal.For example, audio signal can comprise from the audio frequency of MIC microphone digital sample, and picture signal can comprise one or more rest images and/or one or more video stream.
This system also comprises the monitor controller that is coupled in monitoring device communicatedly.This monitor controller is configured to provide the Reference data (baseline data) of the normal operation of representing wind turbine and forms service data based on the monitor signal that receives from monitoring device.This monitor controller further is configured to comparison service data and Reference data to determine deviation and to transmit deviation and notify when deviation surpasses threshold value.
In yet another aspect, be provided for monitoring the device of the operation conditions of wind turbine.This device comprises the monitoring device interface that is configured to receive from the wind turbine monitoring device one or more monitor signals.This monitor signal comprises audio signal and/or picture signal.This device also comprises the memory block that is configured to store the Reference data that at least the first monitor signal that receives in the very first time from the monitoring device interface calculates and is coupled in this monitoring device interface and the processor of this memory block.This processor programization is so that second monitor signal that receives in second time based on the monitoring device interface calculates service data and comparison service data and Reference data to determine the operation conditions of wind turbine.This device further comprises the operation conditions that is configured to the to transmit wind turbine communication interface to remote-control device.
Again aspect another, be provided for monitoring the method for wind turbine with the monitoring device that is configured to provide one or more monitor signals.This monitor signal comprises audio signal and/or picture signal.This method comprises by computing device calculates Reference data based at least one first monitor signal.Second monitor signal receives from monitoring device.Service data is calculated based on second monitor signal by computing device.The operation conditions of wind turbine is by relatively service data and Reference data are definite, and this operation conditions is sent to remote-control device.
Description of drawings
Fig. 1 is the perspective view of exemplary wind turbine.
Fig. 2 is the perspective view that can be coupled in the exemplary monitoring device of wind turbine shown in Figure 1 regularly.
Fig. 3 is the perspective view that is coupled in the exemplary monitoring device of wind turbine shown in Figure 1 movably.
Fig. 4 is the perspective view that is placed on the exemplary monitoring device in the protecting sheathing.
Fig. 5 is the block diagram that diagram is used to monitor the example system of wind turbine shown in Figure 1.
Fig. 6 is the block diagram that diagram is used for exemplary user's computing device of using with system shown in Figure 5.
Fig. 7 is the block diagram that diagram is used for the exemplary service device computing device that uses with system shown in Figure 5.
Fig. 8 is the block diagram that diagram is used for the exemplary monitor controller that uses with system shown in Figure 5.
Fig. 9 is the block diagram that diagram is used for the exemplary set hop controller that uses with system shown in Figure 5.
Figure 10 and 11 is the flow charts that are used to monitor the exemplary method of wind turbine.
Embodiment
Embodiment described herein is convenient to based on the operation conditions from one or more audio frequency of monitoring device and/or picture signal monitoring wind turbine.In one embodiment, Reference data produced from first signal or a plurality of first signal in the time of wind turbine when normal state is moved.These signals can be described as " test " signal.Service data after a while from secondary signal or a plurality of secondary signal produce and with reference signal relatively.Can determine the deviation between Reference data and the service data.
The exemplary technique effect of mthods, systems and devices described herein comprise following at least one: (a) calculate Reference datas based on one or more first monitor signals by computing device; (b) receive second monitor signal from monitoring device; (c) calculate service data by computing device based on second monitor signal; (d) determine the operation conditions of wind turbine by comparing service data and Reference data; And (e) transmit operation conditions and arrive remote-control device.
Fig. 1 is the perspective view of exemplary wind turbine 100.Wind turbine 100 comprises the cabin 102 of ccontaining generator (not shown in Figure 1).Cabin 102 is installed on the tower 104 and (part of tower 104 only is shown) in Fig. 1.Tower 104 can have is convenient to any suitable height of the operation of wind turbine 100 as described herein.In an exemplary embodiment, wind turbine 100 also comprises rotor 106, and it comprises three rotor blades 108 that are coupled in rotation hub 110.Alternatively, wind turbine 100 can comprise any amount of rotor blade 108, and it realizes the operation of wind turbine 100 as described herein.In an exemplary embodiment, wind turbine 100 comprises the gearbox (not shown), and it is coupled in rotor 106 and generator rotatably.
Fig. 2 is the perspective view that can be coupled in the exemplary monitoring device 200 of wind turbine 100 regularly.Monitoring device 200 is configured to provide the monitor signal that comprises audio signal and/or picture signal.Monitoring device 200 comprises for example MIC microphone, still image shooting device, vidicon camera and/or IP Camera.In an exemplary embodiment, monitoring device 200 is placed on the top in cabin 102.Yet monitoring device 200 can be placed on any position that allowing on the wind turbine 100 moved as described herein.
In certain embodiments, monitoring device 200 provides picture signal.For example, monitoring device 200 can produce rest image (for example when request), a series of rest image and/or continuous videos stream.
In certain embodiments, monitoring device 200 is configured to monitor one or more rotor blades 108.In an exemplary embodiment, monitoring device 200 is axiss of pitch (lateral axis) 205 that directed monitoring device 200 and orientation are parallel to cabin 102.Rotor blade 108 can be by 200 monitorings of directed monitoring device, for example, and when rotor blade 108 is approximate when being parallel to axis of pitch 205.In addition, rotor blade 108 can be parked on the precalculated position when monitoring device 200 transmits the monitor signal of rotor blade 108, so that compare the monitor signal that transmits at different time.
In certain embodiments, wind turbine 100 comprises one or more sensors 210.Sensor 210 sensings or detection wind turbine Operational Limits.For example, sensor 210 can comprise wind speed and/or direction sensor (for example recording anemometer), air temperature sensor, air-density sensoring, baroceptor, humidity transducer, power output transducer, blade pitch sensor (blade pitch sensor), turbine speed sensor, velocity ratio sensor (gear ratiosensor) and/or the suitable any sensor that uses with wind turbine 100.Each sensor 210 is placed according to its function.For example, Fig. 2 illustrates the recording anemometer 212 on the outer surface that is placed on cabin 102, makes recording anemometer 212 be exposed to the air of the wind turbine 100 of encirclement.Each sensor 210 generates and transmits the signal corresponding to its function.For example, recording anemometer 212 transmits the signal of indication wind speed and/or wind direction.
Fig. 3 is the perspective view that is coupled in the exemplary monitoring device 200 of wind turbine 100 movably.In an exemplary embodiment, cabin 102 comprises translation mechanism 215.Rotation hub 110 is around spin axis 220 rotations, and translation mechanism 215 limits the translated axis line 225 that is parallel to spin axis 220 haply.Translation mechanism 215 unrestrictedly comprises track (track), rail (rail), hawser (cable), one or more wheel and/or servomechanism.Fig. 3 illustrates the translation mechanism 215 as track 230.Being coupled in to monitoring device 200 translations track 230 makes monitoring device 200 to move along translated axis line 225.Monitoring device 200 can be by one or more wheels, wheel tooth (gear and tooth) but, clip, hawser and/or be suitable for respect to any other device translation of cabin 102 mobile monitoring devices 200 be coupled in track 230.In certain embodiments, monitoring device 200 comprises at least a portion of translation mechanism 215.
One exemplary embodiment is convenient to monitor rotor blade 108 from many aspects.For example, if monitoring device 200 comprises shooting device, can provide a plurality of static two dimensional image of rotor blade 108.Each image in this embodiment is corresponding to the precalculated position along translated axis line 225.Two dimensional image can be combined into the 3-D view of rotor blade 108.
Fig. 4 is the perspective view that is placed on the exemplary monitoring device 200 in the protecting sheathing 305.Monitoring device 200 comprises shooting device 310 and MIC microphone 315.But be coupled in to monitoring device 200 and shell 305 translations translation mechanism 215.Shell 305 comprises opening 320, and monitoring device 200 is by its monitoring wind turbine 100.
Shell 305 is by metal, plastics, glass fibre and/or be suitable for making that monitoring device 200 is avoided for example wind, precipitation, frozen, any other material of external key elements such as dust and/or bird and situation.In certain embodiments, shell 305 comprises the protection panel 325 that covers opening 320 haply.Protection panel 325 comprises for example fabric screen and/or transparent window.Protection panel 325 is convenient to further make monitoring device 200 to avoid external key elements and situation.
In addition, MIC microphone 315 can comprise windscreen (windscreen) 330.Protection panel 325 and/or windscreen 330 are convenient to make the wind noise in the audio signal that is provided by monitoring device 200 to minimize.
Fig. 5 is the block diagram that diagram is used to monitor the example system 400 of one or more wind turbines 100.System 400 comprises network 405.For example, network 405 can unrestrictedly comprise internet, Local Area Network, long haul network (WAN), WLAN (WLAN), mesh network and/or VPN (VPN).
User's computing device 410, server computing device 415 and one or more wind turbine monitor controller 429 are configured to by network 405 mutual communicative couplings.User's computing device 410, server computing device 415 and wind turbine monitor controller 420 use cable network (for example to be connected, Ethernet or optical fiber), the means of communication that is fit to of wireless communication means (for example radio frequency (RF), Electrical and Electronic engineering association (IEEE) 802.11 standards (for example 802.11 (g) or 802.11 (n)), micro-wave access to global intercommunication (WIMAX) standard, cellular telephony (for example, global mobile communication standard (GSM)), satellite communication link) and/or any other communicates by letter mutually.WIMAX is the TM trade mark of Oregon than the WiMax Forum that not pauses.IEEE is the TM trade mark of the company of Electrical and Electronic engineering association in New York, New York.
In user's computing device 410, server computing device 415 and the wind turbine monitor controller 420 each comprises processor, as shown in Fig. 6-8.Processor can unrestrictedly comprise intergrated circuit (IC), specific integrated circuit (ASIC), microcomputer, programmable logic controller (PLC) (PLC) and/or any other programmable circuit.In user's computing device 410, server computing device 415 and the wind turbine monitor controller 420 each can be configured by and make corresponding processor programization carry out operation described herein.For example, processor can be by being encoded to operation one or more executable instructions and providing this executable instruction to processor and sequencing in the memory block that is coupled in processor (also shown in Fig. 6-8).The memory block can unrestrictedly comprise one or more random-access memory (ram) devices, one or more storage device and one or more computer-readable medium.
Fig. 6 is that diagram is used for the block diagram with exemplary user's computing device 410 of system's 400 uses.User's computing device 410 comprises the processor 500 that is used to execute instruction.In certain embodiments, executable instruction is stored in the memory block 505.Processor 500 can comprise one or more processing units (for example adopting the multinuclear configuration).Memory block 505 is any devices that allow the information of executable instruction and/or other data etc. for example to be stored and to retrieve.
User's computing device 410 also comprises at least one the medium output block 510 that is used for showing to user 515 information.Medium output block 510 is any parts to user 515 of can conveying a message.Medium output block 510 can unrestrictedly comprise display unit (for example, liquid crystal display (LCD), Organic Light Emitting Diode (OLED) display device or " electric ink " display device) or audio output device (for example loudspeaker or earphone).In certain embodiments, medium output block 510 comprises o adapter, for example video adapter and/or audio frequency adapter.Be coupled in processor 500 in the o adapter operation and be configured to and be coupled in output unit in the operation, for example display unit or audio output device.
In certain embodiments, user's computing device 410 comprises the input device 520 that is used for receiving from user 515 input.Input device 520 can comprise for example keyboard, indicator device, mouse, pen, touch sensitive panel (for example, touch pad or touch screen), gyroscope, accelerometer, position detector and/or voice input device.For example single parts such as touch screen can serve as the output unit and the input device 520 of medium output block 510.User's computing device 410 also comprises communication interface 525, and it is configured to be coupled in communicatedly network 405, server computing device 415 and/or monitor controller 420.
For example computer-readable instruction is stored in and is used in the memory block 505 providing user interface to user 515 and alternatively from input device 520 receptions and processing input by medium output block 510.User interface can comprise (except that other possibility) web browser and/or client application.Web browser and client application make the user (for example the user 515) can display medium and from other information of remote-control device (for example the server computing device 415) and mutual with it.
Fig. 7 is that diagram is used for the block diagram with the exemplary service device computing device of system's 400 uses.Server computing device 415 comprises the processor 600 that is used to execute instruction.Instruction for example can be stored in the memory block 605.Processor 600 can comprise one or more processing units (for example adopting the multinuclear configuration).
In certain embodiments, processor 600 operatively is coupled in storage device 615 by memory interface 620.Memory interface 620 is to provide any parts to the visit of storage device 615 for processor 600.Memory interface 620 can comprise Advanced Technology Attachment (ATA) ABAP Adapter for example, serial ATA (SATA) ABAP Adapter, small computer system interface (SCSI) ABAP Adapter, RAID controller, SAN ABAP Adapter, network adapter and/or any parts to the visit of storage device 615 is provided for processor 600.
Fig. 8 is that diagram is used for the block diagram with the exemplary monitor controller 420 of system's 400 uses.Monitor controller 420 comprises the processor 700 that is used to execute instruction.For example, instruction can be stored in the memory block 705 so that processor 700 sequencing.Processor 700 can comprise one or more processing units (for example adopting the multinuclear configuration).Processor 700 is coupled in memory block 705 and monitoring device interface 710.
In certain embodiments, monitor controller 420 comprises that also the operation conditions that is configured to transmit wind turbine 100 is to for example communication interface 715 of remote-control device such as user computer equipment 410 and/or server computing device 415.Operation conditions can unrestrictedly comprise wind turbine 100 Identifier, situation descriptor (for example " normally " or " detecting deviation "), determine the time of operation conditions and/or be used for determining the monitor signal of operation conditions.
In certain embodiments, processor 700 comparison service datas and Reference data are to determine deviation.In one embodiment, processor 700 sequencing are to calculate Reference data and service data to produce transformation of criterion and operation conversion by one or more monitor signals being carried out the fast Fourier transform (FFT) algorithms.Processor 700 sequencing are relatively to move conversion and transformation of criterion to determine deviation.
In certain embodiments, monitoring device 200 provides a plurality of picture signals.Processor 700 sequencing are with by for example becoming picture signal second form, index and/or adjust from the image size of picture signal and calculate Reference data and service data for element in the picture signal from a format conversion.In one embodiment, Reference data comprises benchmark image, and service data comprises operation image.Processor 700 sequencing with by the diversity ratio between identification operation image and the benchmark image than operation image and benchmark image.For example, the difference between the image can be indicated the deviation of the shape of rotor blade 108.
If the deviation of being determined by processor 700 surpasses threshold value, communication interface 715 can be configured to transmit deviation and notifies remote-control device.The deviation notice can unrestrictedly comprise Identifier, deviation quantity and/or seriousness, the Deviation Type (for example, amplitude error and/or frequency departure) of wind turbine 100 and/or calculate the monitor signal of service data institute basis.
In one embodiment, monitoring device 200 is configured to provide a plurality of audio signals.Processor 700 sequencing are to determine deviation by frequency departure and/or the amplitude error between service data and the Reference data between definite service data and the Reference data.
In one embodiment, monitoring device interface 710 further is configured to receive a plurality of audio signals and a plurality of picture signal.Memory block 705 further is configured to store the Reference data from first audio signal and the calculating of first picture signal, and processor 700 further is configured to calculate service data based on second audio signal and second picture signal.
In certain embodiments, monitor controller 420 also comprises wind turbine control interface 720, and it is configured to be coupled in communicatedly wind turbine machine controller 725.Wind turbine machine controller 725 can be coupled in one or more sensors 210 and one or more control gear 730 of wind turbine 100 communicatedly.For example sensor 210 such as recording anemometer is above being described.Monitor controller 420 can be mutual with control gear 730 and/or sensor by wind turbine control interface 720 and wind turbine machine controller 725.
In certain embodiments, memory block 705 further is configured to store rotor blade orientation, for example corresponding to the position and/or the pitch of one or more rotor blades 108 of Reference data.Wind turbine control interface 720 can be configured to come based on the rotor blade orientation of storage each rotor blade 108 of directed wind turbine 100 before processor 700 calculates service data.In one embodiment, wind turbine control interface 720 is configured to make rotor blade 108 to be oriented to the fixed position, and monitoring device interface 710 further is configured to receive monitor signal by the one or more images that receive rotor blade 108.
In one embodiment, communication interface 715 is configured to transmit one or more monitor signals to remote-control device.For example, when monitor signal was received by monitoring device interface 710, communication interface 715 can be transmitted monitor signal as a stream server computing device 415 and/or user's computing device 410 haply.Such embodiment be convenient to wind turbine 100 in real time or quasi real time remote monitoring.
In certain embodiments, server computing device 415 is coupled in a plurality of wind turbines 100 communicatedly by network 405, and one or more user's computing device 410 is coupled in server computing device 415 communicatedly.Server computing device 415 receives operation conditions and/or deviation notice from wind turbine 100.User's computing device 410 is from server computing device 415 visit operation conditionss and/or deviation notice.In addition or alternatively, server computing device 415 receives the deviations notice and transmits this deviation and notify a plurality of user's computing devices 410 from monitor controller 420.
In one embodiment, user's computing device 410 comprises the display unit of deviation notification history that is configured to show wind turbine 100 as medium output block 510.For example, server computing device 415 can be stored deviation notice in memory block 605 or storage device 615, and user's computing device 410 can be asked the deviation notice related with specific wind turbine 100.In addition or alternatively, display unit can be configured to show the history near the deviation notice of one or more other wind turbines 100 of wind turbine 100.For example, display unit can show the history of the deviation notice of a plurality of wind turbines 100 in the wind energy turbine set.Such embodiment is convenient to be identified in a plurality of wind turbines 100 that represent potential imminent problem in the geographic area.
Fig. 9 is that diagram is used for the block diagram with the exemplary set hop controller 750 of system's 400 uses.In an exemplary embodiment, monitor controller 420 (shown in Fig. 5 and 8) is embodied as combined controller 750.Combined controller 750 is also carried out at least some (shown in Figure 8) in the function of being carried out by wind turbine machine controller 725.
Describe about Fig. 8 as mentioned, combined controller 750 comprises processor 700, memory block 705, monitoring device interface 710 and communication interface 715.Combined controller 750 also comprises wind turbine control interface 720, and it is directly mutual with one or more control gear 730 in an exemplary embodiment.Combined controller 750 also comprises sensor interface 755, and it is configured to be coupled in communicatedly one or more sensors 210.
Figure 10 and 11 is the flow charts that are used to monitor the exemplary method 800 of the wind turbine with the monitoring device that is configured to provide a plurality of monitor signals.This monitor signal comprises a plurality of audio signals and/or a plurality of picture signal.This method comprises by computing device calculates (805) Reference data based on one or more first monitor signals.
Second monitor signal receives (810) from monitoring device.Service data is calculated (815) by computing device based on second monitor signal.Determine the operation conditions of (820) wind turbine by comparing service data and Reference data, and comprise that alternatively the operation conditions of second monitor signal transmits (825) to remote-control device.
In one embodiment, determine that (820) operation conditions comprises definite deviation source.The deviation source can unrestrictedly comprise rotor blade, transmission system (drive train) and/or environmental elements.The deviation source can be determined based on the bias property between service data and the Reference data.For example, the periodicity emphasis complex magnitude deviation in particular frequency range can indicate rotor blade just producing whistle, and it can indicate the structural damage to rotor blade.As other examples, gear wear or strain can produce constant relatively amplitude and/or frequency departure, and ocean wave can produce relatively at random deviation or the deviation in characteristic frequency.The change of blade geometric shape (for example because warpage or icing) also can produce discernible deviation.
In certain embodiments, service data is calculated (815) based on a plurality of audio signals.For example, a plurality of audio signals can make up by the moving average of adding audio signal and/or calculate from audio signal.
With reference to Figure 11, in certain embodiments, calculate (805) reference signal by receiving (850) a plurality of audio signals.In a particular embodiment, each audio signal is corresponding to the wind velocity signal that receives from air velocity transducer.The audio signal of each reception is based on the corresponding air speed signal and related with wind speed range (855).For example, can limit five wind speed range (for example, 0-5 meter per second (m/s), 5-10m/s, 10-15m/s, 15-20m/s and 20-25m/s) to wind turbine.Each wind speed range is calculated (860) Reference data.In one embodiment, receive (810) second monitor signals from monitoring device and comprise the audio signal of reception corresponding to the wind velocity signal that receives from air velocity transducer.
In such embodiments, method 800 also comprises based on wind speed range selection (830) Reference data corresponding to wind velocity signal.For example, if audio signal corresponding to the wind velocity signal of indication 7m/s wind speed, is selected the Reference data of the wind speed range of (830) 5-10m/s.The Reference data that compares service data and selection.Such embodiment is convenient to according to wind speed audio signal be classified.In addition or alternatively, audio signal can be classified according to the rotating speed of hub 110, power output or any other parameter that is fit to of wind turbine 100.
In one embodiment, operation conditions is determined (820) based on the 3-D view of one or more rotor blades.First and second monitor signals comprise a plurality of two dimensional images.For example, each a plurality of image corresponding to the different perspective views of rotor blade can be provided by monitoring device.Calculate (805) Reference data and comprise, and calculating (815) service data comprises based on second 3-D view that produces one or more rotor blades from more than second two dimensional image of second monitor signal based on first 3-D view that produces one or more rotor blades from more than first two dimensional image of first monitor signal.
Method codified described herein is as the executable instruction that is included in the computer-readable medium, and computer-readable medium unrestrictedly comprises the memory block of computing device.Such instruction makes processor carry out at least a portion of method described herein when being carried out by processor.
The one exemplary embodiment of wind turbine control system is in above-detailed.Monitoring system, wind turbine and the assembly that comprises are not limited to specific embodiment described herein, and each parts can be independent of and separate use with miscellaneous part described herein on the contrary.
This written explanation usage example is with open the present invention, and it comprises optimal mode, and makes those skilled in that art can put into practice the present invention, comprises and makes and use any method that comprises of any device or system and execution.Patentable scope of the present invention is defined by the claims, and can comprise other examples that those skilled in that art expect.If they have not different with the written language of claim structural elements other examples like this, if perhaps they comprise that written language with claim does not have the equivalent structure element of substantive difference then stipulates within the scope of the claims.
List of parts
100 wind turbines, 102 cabins
104 towers, 106 rotors
108 rotor blades, 110 wheel hubs
200 monitoring devices, 205 axiss of pitch
210 sensors, 212 airspeedometers
215 translation mechanisms, 220 rotations
225 translated axis lines, 230 tracks
305 shells, 310 filming apparatus
315 microphones, 320 openings
325 protection panels, 330 windscreens
400 systems, 405 networks
410 user's computing devices, 415 server computing devices
420 wind turbine monitor controllers, 500 processors
505 memory blocks, 510 medium output blocks
515 users, 520 input devices
525 communication interfaces, 600 processors
605 memory blocks, 610 communication interfaces
615 storage devices, 620 memory interfaces
700 processors, 705 memory blocks
710 monitoring device interfaces, 715 communication interfaces
720 wind turbine control unit interfaces, 725 wind turbine machine controllers
730 control gear, 750 combined controllers
755 sensor interfaces, 800 methods
805 based on first monitor signal calculating Reference data
815 based on second monitor signal calculating service data
810 receive second monitor signal
820 by relatively service data and Reference data are determined operation conditions
825 transmit operation conditions
830 based on wind speed range selection reference data
850 receive the audio signal corresponding to wind velocity signal
855 make each audio signal related with wind speed range
860 calculate the Reference data for each wind speed range.
Claims (10)
1. system (400) that is used to monitor wind turbine (100), described system comprises:
Be coupled in described wind turbine and be configured to provide at least one the monitoring device (200) of one or more monitor signals that comprises in audio signal and the picture signal; And
Be coupled in the monitor controller (420) of described monitoring device communicatedly, it is configured to:
The Reference data of the normal operation of the described wind turbine of expression is provided;
Form service data based on the monitor signal that receives from described monitoring device;
More described service data and described Reference data are to determine deviation; And
When surpassing threshold value, described deviation transmits the deviation notice.
2. the system as claimed in claim 1 (400), wherein said monitoring device (200) comprise the directed monitoring device of at least one rotor blade (108) that is configured to monitor described wind turbine (100).
3. system as claimed in claim 2 (400) further comprises the translation mechanism (215) that is coupled in described wind turbine (100), and wherein said directed monitoring device (200) is coupled in described translation mechanism.
4. system as claimed in claim 3 (400), wherein said rotor blade (108) is coupled in can be around the hub (110) of spin axis (220) rotation, and described translation mechanism (215) limits the translated axis line that is parallel to described spin axis (225) haply.
5. system as claimed in claim 3 (400), wherein said directed monitoring device (200) further is configured to by providing a plurality of images that monitor signal is provided, and each image in described a plurality of images is corresponding to along one in a plurality of positions of described translated axis line (215).
6. the system as claimed in claim 1 (400), wherein said service data is based on first monitor signal that receives from described monitoring device (200), and described monitor controller (420) further is configured to form described Reference data based on second monitor signal that receives from described monitoring device.
7. the system as claimed in claim 1 (400), wherein said monitoring device (200) is configured to provide a plurality of audio signals, and described monitor controller (420) further is configured to determine deviation by the frequency departure between definite described service data and the described Reference data and at least one in the amplitude error between described service data and the described Reference data.
8. the system as claimed in claim 1 (400) further comprises the remote-control device that is coupled in described monitor controller (420) communicatedly, and described remote-control device comprises the display unit that is configured to show described deviation notice.
9. the system as claimed in claim 1 (400), wherein said wind turbine (100) is first wind turbine, described system further comprises the remote-control device that is coupled in described monitor controller (420) communicatedly, and it comprises that the deviation that is configured to show described first wind turbine is historical and near at least one the display unit in the deviation of second wind turbine of described first wind turbine.
10. device (400) that is used to monitor the operation conditions of wind turbine (100), described device comprises:
Be configured to receive from the wind turbine monitoring device monitoring device interface (710) of one or more monitor signals, described monitor signal comprises at least one in audio signal and the picture signal;
Memory block (505), it is configured to store the Reference data that at least the first monitor signal that receives in the very first time from described monitoring device interface is calculated; And
Processor (500), it is coupled in described monitoring device interface (710) and described memory block, and described processor programization is to be used for: calculate service data based on second monitor signal that is received in second time by described monitoring device interface; And more described service data and described Reference data are to determine the operation conditions of described wind turbine; And
Communication interface (715), it is configured to transmit the described operation conditions of described wind turbine to remote-control device.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US12/634,435 US8041540B2 (en) | 2009-12-09 | 2009-12-09 | System, device, and method for acoustic and visual monitoring of a wind turbine |
| US12/634435 | 2009-12-09 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102094757A true CN102094757A (en) | 2011-06-15 |
| CN102094757B CN102094757B (en) | 2016-06-15 |
Family
ID=43598123
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010591499.XA Active CN102094757B (en) | 2009-12-09 | 2010-12-09 | Sound and the system of visual monitoring, apparatus and method for wind turbine |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US8041540B2 (en) |
| EP (1) | EP2333329B1 (en) |
| CN (1) | CN102094757B (en) |
| DK (1) | DK2333329T3 (en) |
| ES (1) | ES2546977T3 (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103797244A (en) * | 2011-08-16 | 2014-05-14 | 维斯塔斯风力系统集团公司 | Acoustic noise monitoring system for a wind turbine |
| CN104236879A (en) * | 2014-08-25 | 2014-12-24 | 合肥工业大学 | Engine blade dynamic and static detecting method based on machine vision |
| CN104520544A (en) * | 2012-06-15 | 2015-04-15 | 西门子公司 | Machine component of a drive train and method for configuring and/or putting into operation and/or operating such a drive train |
| CN105201755A (en) * | 2015-10-14 | 2015-12-30 | 大唐（赤峰）新能源有限公司 | Recognition device of wind power blade surface faults |
| CN106103982A (en) * | 2014-03-11 | 2016-11-09 | Ntn株式会社 | Condition monitoring system and state monitoring method |
| WO2017181545A1 (en) * | 2016-04-22 | 2017-10-26 | 北京小米移动软件有限公司 | Object monitoring method and device |
| CN109236586A (en) * | 2018-08-08 | 2019-01-18 | 远景能源（江苏）有限公司 | Wind-driven generator bolt failure monitoring method based on sound collection |
| CN111237135A (en) * | 2020-02-05 | 2020-06-05 | 中国海洋大学 | Health state monitoring device and method for blades of wind turbine |
| CN111788385A (en) * | 2017-12-29 | 2020-10-16 | 维斯塔斯风力系统集团公司 | Communicating messages to indicate tonal noise |
Families Citing this family (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8261599B2 (en) * | 2008-04-24 | 2012-09-11 | Rbt, Lp | Method and system for determining an imbalance of a wind turbine rotor |
| EP2481924B1 (en) * | 2011-02-01 | 2016-12-14 | ALSTOM Renewable Technologies | Device and method for visual analysis of a wind turbine blade |
| GB201110003D0 (en) * | 2011-06-14 | 2011-07-27 | Romax Technology Ltd | Identifying wind turbines for maintenance |
| DE102011054211B3 (en) * | 2011-10-05 | 2013-01-10 | Kenersys Gmbh | Method for operating a wind energy plant and corresponding wind energy plant |
| WO2014078276A1 (en) | 2012-11-13 | 2014-05-22 | Inventus Holdings, Llc | Early detection of wind turbine degradation using acoustical monitoring |
| ITMI20122071A1 (en) * | 2012-12-04 | 2014-06-05 | Wilic Sarl | METHOD OF CONTROL OF A WIND POWER PLANT FOR THE GENERATION OF ELECTRICITY AND THE WIND POWER PLANT |
| US10371123B2 (en) | 2013-08-19 | 2019-08-06 | General Electric Company | Methods and systems for detecting wind turbine rotor blade damage |
| US20150115610A1 (en) * | 2013-10-29 | 2015-04-30 | Patrick Quinlan | Integrated wind turbine acoustic noise and shadow-flicker detection and mitigation system |
| US9521830B2 (en) * | 2014-08-21 | 2016-12-20 | Identiflight, Llc | Bird or bat detection and identification for wind turbine risk mitigation |
| DE102015007649A1 (en) | 2015-06-17 | 2016-12-22 | Senvion Gmbh | Method and system for monitoring wind turbines of a wind farm |
| EP3458712B1 (en) * | 2016-05-18 | 2020-07-08 | Vestas Wind Systems A/S | Analysis of wind turbine noise |
| EP3249216A1 (en) * | 2016-05-27 | 2017-11-29 | Siemens Aktiengesellschaft | Rotor blade with noise reduction means |
| CN109952429B (en) * | 2016-09-07 | 2020-11-10 | 维斯塔斯风力系统集团公司 | Predicting wind turbine noise |
| WO2018086671A1 (en) * | 2016-11-14 | 2018-05-17 | Vestas Wind Systems A/S | Wind turbine noise analysis and control |
| EP3339640A1 (en) * | 2016-12-21 | 2018-06-27 | Vestas Wind Systems A/S | Control system for a wind turbine |
| JP6503419B2 (en) | 2017-07-07 | 2019-04-17 | 三菱重工業株式会社 | Data collection system for wind power generation facility, data collection method, and wind power generation facility |
| GB2568676A (en) * | 2017-11-21 | 2019-05-29 | Equinor Asa | Wind turbine blade orientation detection |
| CN111120220B (en) * | 2018-10-31 | 2021-05-28 | 北京金风科创风电设备有限公司 | Method and system for video monitoring of wind generating set blade |
| CN109657275B (en) * | 2018-11-16 | 2023-04-07 | 中国航空工业集团公司沈阳空气动力研究所 | Simulation method and system considering icing surface roughness |
| US20210108618A1 (en) * | 2019-10-11 | 2021-04-15 | The Aes Corporation | System and method for determining an operating condition of a wind turbine |
| CN111306008B (en) * | 2019-12-31 | 2022-03-11 | 远景智能国际私人投资有限公司 | Fan blade detection method, device, equipment and storage medium |
| CN114412729A (en) * | 2022-01-30 | 2022-04-29 | 西安翔迅科技有限责任公司 | Fan blade damage monitoring device and monitoring method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008058876A2 (en) * | 2006-11-17 | 2008-05-22 | Christoph Lucks | Collision warning system for a wind energy installation |
| CN101248269A (en) * | 2005-07-26 | 2008-08-20 | 再生动力系统股份公司 | Wind power plant comprising individual pitch devices |
| CN101265878A (en) * | 2007-01-05 | 2008-09-17 | 通用电气公司 | Tonal emission control for wind turbines |
| US20080243434A1 (en) * | 2004-07-16 | 2008-10-02 | Meadwestvaco Packaging Systems Llc | Method Of Identifying Abnormal Operation Of A Machine And An Apparatus Therefor |
| WO2009143849A2 (en) * | 2008-05-30 | 2009-12-03 | Vestas Wind System A/S | A wind turbine rotor, a wind turbine and use thereof |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US2883255A (en) * | 1954-04-28 | 1959-04-21 | Panellit Inc | Automatic process logging system |
| US3321613A (en) * | 1961-09-19 | 1967-05-23 | Automation Man Inc | Measuring instrument |
| US3257652A (en) * | 1962-03-20 | 1966-06-21 | Reliance Electric & Eng Co | Operation monitor |
| US3618026A (en) * | 1970-03-16 | 1971-11-02 | Honeywell Inc | Character generator |
| US7080398B1 (en) * | 1999-11-30 | 2006-07-18 | Agilent Technologies, Inc. | Monitoring system and method implementing warning interface logic |
| DE10115267C2 (en) * | 2001-03-28 | 2003-06-18 | Aloys Wobben | Method for monitoring a wind energy plant |
| US6973396B1 (en) * | 2004-05-28 | 2005-12-06 | General Electric Company | Method for developing a unified quality assessment and providing an automated fault diagnostic tool for turbine machine systems and the like |
| US7086834B2 (en) * | 2004-06-10 | 2006-08-08 | General Electric Company | Methods and apparatus for rotor blade ice detection |
| US7349746B2 (en) * | 2004-09-10 | 2008-03-25 | Exxonmobil Research And Engineering Company | System and method for abnormal event detection in the operation of continuous industrial processes |
| US7479876B2 (en) * | 2005-02-02 | 2009-01-20 | Rockwell Automation Technologies, Inc. | Wireless integrated condition monitoring system |
| US7295950B2 (en) * | 2005-06-23 | 2007-11-13 | International Business Machines Corporation | Monitoring multiple channels of data from real time process to detect recent abnormal behavior |
| ES2327696B2 (en) | 2006-10-11 | 2011-07-28 | GAMESA INNOVATION & TECHNOLOGY, S.L. | SYSTEM OF SUPPRESSION AND CANCELLATION OF NOISE IN AEROGENERATORS. |
| US7896613B2 (en) * | 2009-06-03 | 2011-03-01 | General Electric Company | System and method for wind turbine noise control and damage detection |
| US7945350B2 (en) * | 2009-07-07 | 2011-05-17 | General Electric Company | Wind turbine acoustic emission control system and method |
| DK201070274A (en) * | 2009-10-08 | 2011-04-09 | Vestas Wind Sys As | Control method for a wind turbine |
-
2009
- 2009-12-09 US US12/634,435 patent/US8041540B2/en active Active
-
2010
- 2010-11-24 DK DK10192328.2T patent/DK2333329T3/en active
- 2010-11-24 ES ES10192328.2T patent/ES2546977T3/en active Active
- 2010-11-24 EP EP10192328.2A patent/EP2333329B1/en active Active
- 2010-12-09 CN CN201010591499.XA patent/CN102094757B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080243434A1 (en) * | 2004-07-16 | 2008-10-02 | Meadwestvaco Packaging Systems Llc | Method Of Identifying Abnormal Operation Of A Machine And An Apparatus Therefor |
| CN101248269A (en) * | 2005-07-26 | 2008-08-20 | 再生动力系统股份公司 | Wind power plant comprising individual pitch devices |
| WO2008058876A2 (en) * | 2006-11-17 | 2008-05-22 | Christoph Lucks | Collision warning system for a wind energy installation |
| CN101265878A (en) * | 2007-01-05 | 2008-09-17 | 通用电气公司 | Tonal emission control for wind turbines |
| WO2009143849A2 (en) * | 2008-05-30 | 2009-12-03 | Vestas Wind System A/S | A wind turbine rotor, a wind turbine and use thereof |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103797244B (en) * | 2011-08-16 | 2017-09-12 | 维斯塔斯风力系统集团公司 | Noise acoustic monitoring system for wind turbine |
| CN103797244A (en) * | 2011-08-16 | 2014-05-14 | 维斯塔斯风力系统集团公司 | Acoustic noise monitoring system for a wind turbine |
| CN104520544A (en) * | 2012-06-15 | 2015-04-15 | 西门子公司 | Machine component of a drive train and method for configuring and/or putting into operation and/or operating such a drive train |
| CN104520544B (en) * | 2012-06-15 | 2017-03-29 | 西门子公司 | The machine part of power train and the method for laying and/or for starting and/or for running this power train |
| CN106103982A (en) * | 2014-03-11 | 2016-11-09 | Ntn株式会社 | Condition monitoring system and state monitoring method |
| CN104236879A (en) * | 2014-08-25 | 2014-12-24 | 合肥工业大学 | Engine blade dynamic and static detecting method based on machine vision |
| CN105201755A (en) * | 2015-10-14 | 2015-12-30 | 大唐（赤峰）新能源有限公司 | Recognition device of wind power blade surface faults |
| CN105201755B (en) * | 2015-10-14 | 2018-11-09 | 大唐（赤峰）新能源有限公司 | A kind of identification device of wind-power blade superficial failure |
| WO2017181545A1 (en) * | 2016-04-22 | 2017-10-26 | 北京小米移动软件有限公司 | Object monitoring method and device |
| US10122916B2 (en) | 2016-04-22 | 2018-11-06 | Beijing Xiaomi Mobile Software Co., Ltd. | Object monitoring method and device |
| CN111788385A (en) * | 2017-12-29 | 2020-10-16 | 维斯塔斯风力系统集团公司 | Communicating messages to indicate tonal noise |
| CN111788385B (en) * | 2017-12-29 | 2023-10-20 | 维斯塔斯风力系统集团公司 | Communicating a message to indicate tonal noise |
| CN109236586A (en) * | 2018-08-08 | 2019-01-18 | 远景能源（江苏）有限公司 | Wind-driven generator bolt failure monitoring method based on sound collection |
| CN111237135A (en) * | 2020-02-05 | 2020-06-05 | 中国海洋大学 | Health state monitoring device and method for blades of wind turbine |
Also Published As
| Publication number | Publication date |
|---|---|
| ES2546977T3 (en) | 2015-09-30 |
| EP2333329B1 (en) | 2015-08-05 |
| US8041540B2 (en) | 2011-10-18 |
| EP2333329A3 (en) | 2014-02-19 |
| DK2333329T3 (en) | 2015-08-31 |
| EP2333329A2 (en) | 2011-06-15 |
| CN102094757B (en) | 2016-06-15 |
| US20110135442A1 (en) | 2011-06-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102094757A (en) | System, device, and method for acoustic and visual monitoring of a wind turbine | |
| EP2199606B1 (en) | Method for determining a potential for icing on a wind turbine blade | |
| EP1959134B1 (en) | Method and system for utilizing lateral tower acceleration to detect asymmetric icing | |
| US20160144959A1 (en) | Systems, Methods and Devices for Collecting Data at Remote Oil and Natural Gas Sites | |
| CN102607850A (en) | System and method for detecting anomalies in wind turbines | |
| CN104091413B (en) | A kind of flood control rainwater feelings automatic monitoring method | |
| EP2667022A2 (en) | Method and system for wind velocity field measurements on a wind farm | |
| US10655599B2 (en) | Wind farm, control method thereof and wind power generation unit | |
| WO2021232675A1 (en) | High-synchronization-precision distributed measurement system and method for wind turbine generator set | |
| CN102208050A (en) | Systems and methods for performance monitoring and identifying upgrades for wind turbines | |
| ES2546939T3 (en) | Wind turbine and asymmetric ice detection procedure in a wind turbine | |
| EP2461025A2 (en) | System, device, and method for noise-based operation of wind turbines | |
| CN203366132U (en) | Microphone array-based wireless video tracking and monitoring system | |
| CN103723641A (en) | Remote monitoring system for video supervision tower cranes based on 4G wireless communication | |
| CN102645334A (en) | State monitoring device for wind generating set | |
| CN105712220A (en) | Black box based on crane monitoring system | |
| WO2015137189A1 (en) | Status monitoring system and status monitoring method | |
| US20190114725A1 (en) | Utility network monitoring with a device and an unmanned aircraft | |
| CN103162805A (en) | Wind generating set state monitoring system with audio-visual function | |
| Ali et al. | Intelligent monitoring and control of wind turbine prototype using Internet of Things (IoT) | |
| KR20130061834A (en) | Method for detecting ice of wind turbine rotor blade | |
| CN102506778A (en) | Transmission line icing monitoring system and monitoring method | |
| JP2016081326A (en) | Unmanned-aircraft-approach detector and approach warning system | |
| CN203783820U (en) | Vibrational state monitoring device for wind generation set with distributed memory function | |
| CN214539672U (en) | Wind direction and wind speed monitoring device based on air pressure detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240114 Address after: Barcelona, Spain Patentee after: Ge renewable energy Spain Ltd. Address before: New York, United States Patentee before: General Electric Co. |